4 accepted papers
Large behaviour models have transformed the field of robotic manipulation, but prohibitive data requirements have thus far prevented a revolution similar to vision language models. We believe that instrumentation, i.e. sensor integration in objects, can provide invaluable state information and enabl…
Robotic perception of transparent objects presents unique challenges due to their refractive properties, lack of texture, and limitations of conventional RGB-D sensors in capturing reliable depth information. These challenges significantly hinder robotic manipulation capabilities in real-world setti…
Robotic perception of transparent objects presents unique challenges due to their refractive properties, lack of texture, and limitations of conventional RGB-D sensors in capturing reliable depth information. These challenges significantly hinder robotic manipulation capabilities in real-world setti
Assistive robots should be able to wash, fold or iron clothes. However, due to the variety, deformability and self-occlusions of clothes, creating robot systems for cloth manipulation is challenging. Synthetic data is a promising direction to improve generalization, but the sim-to-real gap limits it